Study on the Discrimination Method of Driving Safety States Based on BP Neural Network

Abstract:

In order to estimating the state of driving safety and reducing accidents, a discrimination method of driving safety states based on BP neural network was presented in the paper. Firstly, the influencing factors on the vehicle driving safety were analyzed, and ten main factors that affected the driving safety of vehicles were confirmed, which constitute the safety assessment index system for vehicle driving. Then the discrimination model of driving safety states based on BP neural network was established, and inputs and outputs for the neurons were determined. At last, the input data for neurons were acquired on the basic of the main evaluation indexes of vehicle driving safety, and these data were used to train the neural network. The training result conform to expectations of the training requires.

• Periodical: Applied Mechanics and Materials (Volumes 556-562)
• Pages: 6111-6114
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.556-562.6111
• Online since: May 2014
• Authors: Feng Ping Cao*
• Keywords: BP Neural Network (BPNN), Discrimination Model, Driving Safety States, Safety Assessment Index

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